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Proceedings Paper

Cross-search-based fast new three-step search motion estimation using temporal correlation (CFNTSS)
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Paper Abstract

Full search block matching motion estimation requires a very large amount of computing power. To overcome this problem, many fast search algorithms have been proposed. But, all these algorithms do not satisfy both matching error performance and real time property at the same time. This paper proposes a novel fast block matching algorithm using temporal correlation and center biased behavior of motion vector. In proposed algorithm, we modify new three-step search algorithm to combine technique for temporal correlation of motion vectors and center biased assumption. In real video sequences, there are many overlapped motion vectors between adjacent frames. Thus, by finding these duplicated motion vectors with a simple search rule, the proposed algorithm dramatically reduces the computational amount with low quality degradation.

Paper Details

Date Published: 19 November 2003
PDF: 8 pages
Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); doi: 10.1117/12.505377
Show Author Affiliations
Sang-Yeul Kong, Kwangju Institute of Science and Technology (South Korea)
Yoon-Hee Choi, Kwangju Institute of Science and Technology (South Korea)
Tae-Sun Choi, Kwangju Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 5203:
Applications of Digital Image Processing XXVI
Andrew G. Tescher, Editor(s)

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